Using generalized logistics regression to forecast population infected by Covid-19

 

Gorde:
Xehetasun bibliografikoak
Egilea: Villalobos Arias, Mario Alberto
Formatua: documento de trabajo
Argitaratze data:2020
Deskribapena:In this work, a proposal to forecast the populations using generalized logistics regression curve fitting is presented. This type of curve is used to study population growth, in this case population of people infected with the Covid-19 virus; and it can also be used to approximate the survival curve used in actuarial and similar studies.
Herria:Kérwá
Erakundea:Universidad de Costa Rica
Repositorio:Kérwá
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/80876
Sarrera elektronikoa:https://hdl.handle.net/10669/80876
Gako-hitza:generalized logistic regression
curve fitting
COVID-19